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All Journal JOIV : International Journal on Informatics Visualization International Journal of Renewable Energy Development
Nguyen, Hoang Phuong
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Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

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Journal : JOIV : International Journal on Informatics Visualization

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Using IT2FS, DEMATEL, and TOPSIS to Build Sustainable Solutions for Vietnamese Coffee Nguyen, Hoang Phuong; Bui, Thuy Chi; Nguyen, Mai Hoang Dieu; Trang Bui, Dang Thien; Nguyen, Thi Quynh Nhu; Nguyen, Hoang Truc Khanh; Le, Thanh Tam; Nguyen, Thi Lieu; Bui, Viet Duc
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.4358

Abstract

Ensuring the sustainability of coffee supply chains in emerging economies is a growing concern due to complex systemic barriers and limited strategic direction. The Vietnamese coffee industry is ranked second in global coffee exports and plays a vital role in Vietnam's economy. The Vietnamese coffee supply chain encompasses a vast network of smallholder farmers, local processors, and exporters, presenting challenges related to sustainability, price volatility, and quality control. This study proposes the use of Interval Type-2 Fuzzy Sets (IT2FS), Decision-Making Trial and Evaluation Laboratory (DEMATEL), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to analyze and rank the barriers and strategic interventions in Vietnam's coffee sector. Using IT2FS-DEMATEL, we looked at the driving and dependent relationships between six main barriers and six solutions that focus on sustainability. The results showed that the DEMATEL-based structural analysis revealed that Unstable Market and Trade Conditions had the most substantial driving influence. At the same time, the Lack of Best Cultivation Quality Standards was the most dependent factor. The TOPSIS analysis ranked Establishing National Coffee Cultivation Standards as the top solution, which was remarkably close to the optimal solution vector. These results provide a thorough, evidence-based plan for determining the initial actions to take in stabilizing Vietnam's coffee supply chain during times of volatility. It gives policymakers and industry stakeholders a clear framework for developing targeted actions to enhance the sustainability and resilience of coffee supply chains.
Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices Nguyen, Hoang Phuong; Nguyen, Cao Thao Uyen; Tran, Thi Men; Dang, Quoc Hai; Pham, Nguyen Dang Khoa
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2581

Abstract

This paper aims to investigate the role that artificial intelligence (AI) plays in promoting sustainability in the marine industry. The report demonstrates the potential of AI-driven technology to improve vessel operations, decrease emissions, and promote environmental stewardship. This potential is shown by detailed examination of existing trends, problems, and possibilities. Several vital studies highlight the significance of policy interventions that encourage the use of artificial intelligence. These interventions include financial incentives, legal frameworks, and programs to increase capability. Throughout this work, the importance of the role that artificial intelligence plays in driving efficiency, safety, and sustainability is emphasized. This work also highlights the urgent need for action to address climate change and environmental degradation in the marine sector. The marine industry can lessen its carbon footprint, decrease pollution, and improve ecosystem health if it shifts to various alternative fuels, renewable energy sources, and technologies powered by artificial intelligence. At the end of this work, an appeal is made to policymakers, industry stakeholders, and technology providers, urging them to prioritize investments in artificial intelligence research and development and to create collaboration to speed up the transition to a marine sector that is more sustainable and resilient.
Co-Authors Bui, Thuy Chi Bui, Viet Duc Dang, Quoc Hai Dinh, Gia Huy Le, Thanh Tam Le, Thanh Tien Nguyen, Cao Thao Uyen Nguyen, Hoang Truc Khanh Nguyen, Mai Hoang Dieu Nguyen, Tat Quyen Nguyen, Thi Lieu Nguyen, Thi Quynh Nhu Pham, Minh Tuan Pham, Nguyen Dang Khoa Tran, Cong Minh Tran, Nguyen Bao Minh Tran, Thi Men Trang Bui, Dang Thien